Lead Data Scientist

Gev Grid Solutions; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global energy solutions company in the UK seeks a lead data scientist to test, verify, and validate advanced AI/ML models focusing on grid innovation. This role involves designing experiments, analyzing model performance, and establishing validation frameworks while collaborating with cross-functional teams, including R&D and product units. The ideal candidate has over 5 years of experience in the energy sector and strong programming skills in Python, as well as familiarity with machine learning frameworks. A competitive benefits package is offered, along with opportunities for professional growth.

Benefits

Competitive benefits

Private health insurance

Development opportunities

Qualifications

• 5+ years of experience in model validation within the energy sector.
• Strong knowledge of model performance metrics.
• Proficiency in programming with Python, R, or MATLAB.

Responsibilities

• Design experiments for AI/ML model validation.
• Analyze model performance using real data.
• Communicate validation insights to stakeholders.

Skills

Statistical techniques

AI/ML validation methodologies

Programming in Python

Data wrangling

Machine learning frameworks

Cloud platforms

Data visualization tools

Education

Master's or Bachelor's degree in Data Science, Computer Science, Electrical Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Tableau

Power BI

Job description

Responsibilities

• Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications.
• Establish clear validation frameworks to ensure models meet required performance standards and business objectives.
• Establish test procedures to validate models with real and simulated grid data.
• Analyze model performance against real‑world data to ensure accuracy, reliability, and scalability.
• Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance.
• Implement automated testing strategies and pipeline to streamline model validation processes.
• Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of validated models.
• Ensure that validation processes adhere to data governance policies and industry standards.
• Communicate validation results, insights, and recommendations clearly to stakeholders, including product managers and leadership teams.

Qualifications

• Master's or Bachelor's degree in Data Science, Computer Science, Electrical Engineering, or a related field with hands‑on experience in model validation.
• Minimum 5 years of experience in large multinational companies within the energy sector or related industrial domains such as smart infrastructure or industrial automation.
• Strong knowledge of statistical techniques, model performance metrics, and AI/ML validation methodologies.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Experience with data wrangling, feature engineering, and dataset preparation for model validation.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn) and model evaluation techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and deploying models in cloud environments.
• Experience with data visualization tools (Tableau, Power BI) to effectively present validation results and insights.

Nice‑to‑Have Requirements

• Familiarity with big data tools and technologies such as Hadoop, Kafka, and Spark.
• Knowledge of data governance frameworks and validation standards in the energy sector.
• Understanding of distributed computing environments and large‑scale model deployment.
• Strong communication skills, with the ability to clearly explain complex validation results to non‑technical stakeholders.

About GE Vernova – Grid Automation

We work on cutting‑edge projects that shape the future of energy. Our collaborative environment values your expertise and offers a tangible impact. Join us and be part of a team driving innovation and excellence in control systems.

Career Opportunity

As a lead data scientist, you will test, verify, and validate advanced AI/ML models for grid innovation, and contribute to the development of robust validation frameworks across edge and cloud environments. You will collaborate closely with R&D, product teams, and other business units to support high‑impact AI/ML solutions.

What We Offer

A key role in a dynamic international working environment with flexibility, competitive benefits, development opportunities, and private health insurance.